Overview

Dataset statistics

Number of variables31
Number of observations80829
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 MiB
Average record size in memory157.0 B

Variable types

Numeric18
Boolean13

Alerts

Unnamed: 0 is highly overall correlated with yearHigh correlation
depth is highly overall correlated with depthErrorHigh correlation
depthError is highly overall correlated with depthHigh correlation
dmin is highly overall correlated with horizontalErrorHigh correlation
horizontalError is highly overall correlated with dminHigh correlation
magError is highly overall correlated with magNstHigh correlation
magNst is highly overall correlated with magErrorHigh correlation
net_ak is highly overall correlated with net_usHigh correlation
net_us is highly overall correlated with net_akHigh correlation
year is highly overall correlated with Unnamed: 0High correlation
net_ak is highly imbalanced (95.9%)Imbalance
net_ci is highly imbalanced (99.0%)Imbalance
net_hv is highly imbalanced (98.6%)Imbalance
net_iscgem is highly imbalanced (> 99.9%)Imbalance
net_nc is highly imbalanced (99.1%)Imbalance
net_nn is highly imbalanced (99.4%)Imbalance
net_ok is highly imbalanced (> 99.9%)Imbalance
net_pr is highly imbalanced (98.7%)Imbalance
net_se is highly imbalanced (> 99.9%)Imbalance
net_tx is highly imbalanced (99.6%)Imbalance
net_us is highly imbalanced (92.3%)Imbalance
net_uu is highly imbalanced (99.9%)Imbalance
net_uw is highly imbalanced (99.9%)Imbalance
Unnamed: 0 is uniformly distributedUniform
Unnamed: 0 has unique valuesUnique
hour has 3399 (4.2%) zerosZeros
dayofweek has 11711 (14.5%) zerosZeros

Reproduction

Analysis started2026-01-02 04:36:09.362726
Analysis finished2026-01-02 04:37:02.744851
Duration53.38 seconds
Software versionydata-profiling vv4.18.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

High correlation  Uniform  Unique 

Distinct80829
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40414
Minimum0
Maximum80828
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:02.859405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4041.4
Q120207
median40414
Q360621
95-th percentile76786.6
Maximum80828
Range80828
Interquartile range (IQR)40414

Descriptive statistics

Standard deviation23333.467
Coefficient of variation (CV)0.57736098
Kurtosis-1.2
Mean40414
Median Absolute Deviation (MAD)20207
Skewness0
Sum3.2666232 × 109
Variance5.4445067 × 108
MonotonicityStrictly increasing
2026-01-02T04:37:03.018259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
808281
 
< 0.1%
01
 
< 0.1%
11
 
< 0.1%
21
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
61
 
< 0.1%
71
 
< 0.1%
81
 
< 0.1%
Other values (80819)80819
> 99.9%
ValueCountFrequency (%)
01
< 0.1%
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
ValueCountFrequency (%)
808281
< 0.1%
808271
< 0.1%
808261
< 0.1%
808251
< 0.1%
808241
< 0.1%
808231
< 0.1%
808221
< 0.1%
808211
< 0.1%
808201
< 0.1%
808191
< 0.1%

latitude
Real number (ℝ)

Distinct77072
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.52536255
Minimum-79.9837
Maximum87.386
Zeros0
Zeros (%)0.0%
Negative44228
Negative (%)54.7%
Memory size631.6 KiB
2026-01-02T04:37:03.170885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-79.9837
5-th percentile-55.89616
Q1-21.8109
median-4.2178
Q323.1404
95-th percentile51.8531
Maximum87.386
Range167.3697
Interquartile range (IQR)44.9513

Descriptive statistics

Standard deviation30.42698
Coefficient of variation (CV)-57.916157
Kurtosis-0.58193398
Mean-0.52536255
Median Absolute Deviation (MAD)19.767
Skewness0.10050377
Sum-42464.529
Variance925.8011
MonotonicityNot monotonic
2026-01-02T04:37:03.306535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.4059
 
< 0.1%
18.43354
 
< 0.1%
-6.2524
 
< 0.1%
-6.48514
 
< 0.1%
-23.68453
 
< 0.1%
-21.25663
 
< 0.1%
-6.12133
 
< 0.1%
-6.18153
 
< 0.1%
-5.9653
 
< 0.1%
-24.18433
 
< 0.1%
Other values (77062)80790
> 99.9%
ValueCountFrequency (%)
-79.98371
< 0.1%
-73.22041
< 0.1%
-71.73391
< 0.1%
-69.77391
< 0.1%
-65.88531
< 0.1%
-65.84971
< 0.1%
-65.77211
< 0.1%
-65.66381
< 0.1%
-65.60881
< 0.1%
-65.60711
< 0.1%
ValueCountFrequency (%)
87.3861
< 0.1%
87.37521
< 0.1%
87.08151
< 0.1%
86.92291
< 0.1%
86.89721
< 0.1%
86.89321
< 0.1%
86.87521
< 0.1%
86.52951
< 0.1%
86.32721
< 0.1%
86.26581
< 0.1%

longitude
Real number (ℝ)

Distinct77634
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.582477
Minimum-179.9997
Maximum179.9993
Zeros0
Zeros (%)0.0%
Negative31151
Negative (%)38.5%
Memory size631.6 KiB
2026-01-02T04:37:03.436690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-179.9997
5-th percentile-177.78102
Q1-71.5979
median94.8662
Q3142.1823
95-th percentile168.8866
Maximum179.9993
Range359.999
Interquartile range (IQR)213.7802

Descriptive statistics

Standard deviation122.61314
Coefficient of variation (CV)3.3516904
Kurtosis-1.1810853
Mean36.582477
Median Absolute Deviation (MAD)66.8995
Skewness-0.57909466
Sum2956925.1
Variance15033.982
MonotonicityNot monotonic
2026-01-02T04:37:03.568219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-155.2819
 
< 0.1%
126.42484
 
< 0.1%
-178.02964
 
< 0.1%
-177.1994
 
< 0.1%
-177.37984
 
< 0.1%
-177.17794
 
< 0.1%
127.10144
 
< 0.1%
-155.28166674
 
< 0.1%
-178.00584
 
< 0.1%
126.72954
 
< 0.1%
Other values (77624)80784
99.9%
ValueCountFrequency (%)
-179.99971
< 0.1%
-179.99852
< 0.1%
-179.99831
< 0.1%
-179.99821
< 0.1%
-179.99691
< 0.1%
-179.99631
< 0.1%
-179.99581
< 0.1%
-179.99531
< 0.1%
-179.99442
< 0.1%
-179.99161
< 0.1%
ValueCountFrequency (%)
179.99931
< 0.1%
179.99841
< 0.1%
179.99811
< 0.1%
179.9971
< 0.1%
179.99621
< 0.1%
179.99611
< 0.1%
179.99581
< 0.1%
179.99521
< 0.1%
179.99461
< 0.1%
179.99312
< 0.1%

depth
Real number (ℝ)

High correlation 

Distinct25778
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.09989
Minimum-1.01
Maximum683.36
Zeros10
Zeros (%)< 0.1%
Negative12
Negative (%)< 0.1%
Memory size631.6 KiB
2026-01-02T04:37:03.705477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.01
5-th percentile10
Q110
median13.66
Q357.292
95-th percentile256.228
Maximum683.36
Range684.37
Interquartile range (IQR)47.292

Descriptive statistics

Standard deviation113.44141
Coefficient of variation (CV)1.826757
Kurtosis11.576786
Mean62.09989
Median Absolute Deviation (MAD)4.29
Skewness3.3809971
Sum5019472
Variance12868.953
MonotonicityNot monotonic
2026-01-02T04:37:03.840306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1036248
44.8%
353604
 
4.5%
8124
 
0.2%
9117
 
0.1%
5100
 
0.1%
1183
 
0.1%
2082
 
0.1%
1377
 
0.1%
1275
 
0.1%
1967
 
0.1%
Other values (25768)40252
49.8%
ValueCountFrequency (%)
-1.011
< 0.1%
-0.971
< 0.1%
-0.831
< 0.1%
-0.571
< 0.1%
-0.51
< 0.1%
-0.471
< 0.1%
-0.361
< 0.1%
-0.271
< 0.1%
-0.211
< 0.1%
-0.121
< 0.1%
ValueCountFrequency (%)
683.361
< 0.1%
677.641
< 0.1%
673.061
< 0.1%
670.811
< 0.1%
670.551
< 0.1%
669.5561
< 0.1%
668.231
< 0.1%
667.391
< 0.1%
666.761
< 0.1%
664.741
< 0.1%

mag
Real number (ℝ)

Distinct120
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.804183
Minimum4.5
Maximum8.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:03.993773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile4.5
Q14.5
median4.7
Q34.9
95-th percentile5.5
Maximum8.8
Range4.3
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.37111561
Coefficient of variation (CV)0.077248433
Kurtosis8.3070397
Mean4.804183
Median Absolute Deviation (MAD)0.2
Skewness2.3370577
Sum388317.3
Variance0.13772679
MonotonicityNot monotonic
2026-01-02T04:37:04.123052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.520562
25.4%
4.616346
20.2%
4.710212
12.6%
4.97440
 
9.2%
4.87235
 
9.0%
54688
 
5.8%
5.13489
 
4.3%
5.22508
 
3.1%
5.31819
 
2.3%
5.41356
 
1.7%
Other values (110)5174
 
6.4%
ValueCountFrequency (%)
4.520562
25.4%
4.513
 
< 0.1%
4.525
 
< 0.1%
4.536
 
< 0.1%
4.548
 
< 0.1%
4.554
 
< 0.1%
4.563
 
< 0.1%
4.576
 
< 0.1%
4.588
 
< 0.1%
4.595
 
< 0.1%
ValueCountFrequency (%)
8.81
 
< 0.1%
8.31
 
< 0.1%
8.23
 
< 0.1%
8.12
 
< 0.1%
81
 
< 0.1%
7.94
 
< 0.1%
7.89
< 0.1%
7.76
< 0.1%
7.613
< 0.1%
7.514
< 0.1%

nst
Real number (ℝ)

Distinct352
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.422051
Minimum0
Maximum619
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:04.264818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q156
median56
Q356
95-th percentile114
Maximum619
Range619
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.58525
Coefficient of variation (CV)0.48964326
Kurtosis25.530804
Mean60.422051
Median Absolute Deviation (MAD)0
Skewness3.9498447
Sum4883854
Variance875.28703
MonotonicityNot monotonic
2026-01-02T04:37:04.413465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5653730
66.5%
34398
 
0.5%
27379
 
0.5%
31378
 
0.5%
24374
 
0.5%
28371
 
0.5%
39370
 
0.5%
38364
 
0.5%
29359
 
0.4%
23359
 
0.4%
Other values (342)23747
29.4%
ValueCountFrequency (%)
03
 
< 0.1%
64
 
< 0.1%
78
 
< 0.1%
87
 
< 0.1%
916
 
< 0.1%
1032
 
< 0.1%
1157
0.1%
12105
0.1%
13134
0.2%
14141
0.2%
ValueCountFrequency (%)
6191
< 0.1%
5661
< 0.1%
4751
< 0.1%
4661
< 0.1%
4521
< 0.1%
4441
< 0.1%
4371
< 0.1%
4231
< 0.1%
4201
< 0.1%
4101
< 0.1%

gap
Real number (ℝ)

Distinct348
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.43328
Minimum7
Maximum348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:04.574520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile30
Q159
median87
Q3121
95-th percentile173
Maximum348
Range341
Interquartile range (IQR)62

Descriptive statistics

Standard deviation44.154375
Coefficient of variation (CV)0.47768915
Kurtosis0.58448851
Mean92.43328
Median Absolute Deviation (MAD)31
Skewness0.70484282
Sum7471289.6
Variance1949.6089
MonotonicityNot monotonic
2026-01-02T04:37:04.716695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
871314
 
1.6%
69868
 
1.1%
76808
 
1.0%
70779
 
1.0%
68759
 
0.9%
75744
 
0.9%
64741
 
0.9%
67741
 
0.9%
65729
 
0.9%
72729
 
0.9%
Other values (338)72617
89.8%
ValueCountFrequency (%)
71
 
< 0.1%
85
 
< 0.1%
96
 
< 0.1%
1025
 
< 0.1%
1134
 
< 0.1%
1249
0.1%
1379
0.1%
13.682067871
 
< 0.1%
1478
0.1%
1591
0.1%
ValueCountFrequency (%)
3481
< 0.1%
3401
< 0.1%
334.81
< 0.1%
3291
< 0.1%
3232
< 0.1%
3211
< 0.1%
3191
< 0.1%
3171
< 0.1%
3131
< 0.1%
3111
< 0.1%

dmin
Real number (ℝ)

High correlation 

Distinct15584
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3656914
Minimum0
Maximum62.626
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:04.849793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.447
Q11.342
median2.556
Q34.973
95-th percentile15.875
Maximum62.626
Range62.626
Interquartile range (IQR)3.631

Descriptive statistics

Standard deviation5.5931143
Coefficient of variation (CV)1.281152
Kurtosis14.735414
Mean4.3656914
Median Absolute Deviation (MAD)1.497
Skewness3.3708772
Sum352874.47
Variance31.282927
MonotonicityNot monotonic
2026-01-02T04:37:04.979153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.556751
 
0.9%
1.31232
 
< 0.1%
1.11932
 
< 0.1%
1.24631
 
< 0.1%
1.5331
 
< 0.1%
1.44931
 
< 0.1%
0.97430
 
< 0.1%
0.79230
 
< 0.1%
0.76930
 
< 0.1%
1.6330
 
< 0.1%
Other values (15574)79801
98.7%
ValueCountFrequency (%)
08
< 0.1%
0.0011
 
< 0.1%
0.0013761
 
< 0.1%
0.0022461
 
< 0.1%
0.0028431
 
< 0.1%
0.003091
 
< 0.1%
0.0031681
 
< 0.1%
0.0032151
 
< 0.1%
0.0038451
 
< 0.1%
0.0039251
 
< 0.1%
ValueCountFrequency (%)
62.6261
< 0.1%
62.5581
< 0.1%
58.5281
< 0.1%
58.3791
< 0.1%
57.2851
< 0.1%
56.8961
< 0.1%
56.6231
< 0.1%
55.8981
< 0.1%
55.071
< 0.1%
54.0941
< 0.1%

rms
Real number (ℝ)

Distinct226
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.78416151
Minimum0
Maximum2.82
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:05.126754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.43
Q10.62
median0.76
Q30.93
95-th percentile1.22
Maximum2.82
Range2.82
Interquartile range (IQR)0.31

Descriptive statistics

Standard deviation0.23905266
Coefficient of variation (CV)0.3048513
Kurtosis0.23928976
Mean0.78416151
Median Absolute Deviation (MAD)0.16
Skewness0.39076206
Sum63382.99
Variance0.057146173
MonotonicityNot monotonic
2026-01-02T04:37:05.260267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.71437
 
1.8%
0.671412
 
1.7%
0.691406
 
1.7%
0.771395
 
1.7%
0.681389
 
1.7%
0.741388
 
1.7%
0.731383
 
1.7%
0.721380
 
1.7%
0.761364
 
1.7%
0.711363
 
1.7%
Other values (216)66912
82.8%
ValueCountFrequency (%)
01
 
< 0.1%
0.063
 
< 0.1%
0.074
 
< 0.1%
0.088
 
< 0.1%
0.0914
< 0.1%
0.133
< 0.1%
0.1120
< 0.1%
0.11631
 
< 0.1%
0.11651
 
< 0.1%
0.1226
< 0.1%
ValueCountFrequency (%)
2.821
 
< 0.1%
2.591
 
< 0.1%
2.531
 
< 0.1%
2.441
 
< 0.1%
2.421
 
< 0.1%
2.181
 
< 0.1%
2.141
 
< 0.1%
21
 
< 0.1%
1.961
 
< 0.1%
1.953
< 0.1%

horizontalError
Real number (ℝ)

High correlation 

Distinct1745
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4204432
Minimum0
Maximum51.7
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:05.396774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16.4
median8.12
Q310.23
95-th percentile13.71
Maximum51.7
Range51.7
Interquartile range (IQR)3.83

Descriptive statistics

Standard deviation2.9701534
Coefficient of variation (CV)0.35273124
Kurtosis1.5202344
Mean8.4204432
Median Absolute Deviation (MAD)1.92
Skewness0.53910714
Sum680616
Variance8.8218111
MonotonicityNot monotonic
2026-01-02T04:37:05.535258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4892
 
1.1%
7.5885
 
1.1%
7.2872
 
1.1%
6.9872
 
1.1%
7.9870
 
1.1%
7.7864
 
1.1%
7.8862
 
1.1%
7.3857
 
1.1%
7.6856
 
1.1%
8852
 
1.1%
Other values (1735)72147
89.3%
ValueCountFrequency (%)
05
 
< 0.1%
0.082
 
< 0.1%
0.094
 
< 0.1%
0.13
 
< 0.1%
0.118
 
< 0.1%
0.1222
< 0.1%
0.1322
< 0.1%
0.1417
< 0.1%
0.156
 
< 0.1%
0.167
 
< 0.1%
ValueCountFrequency (%)
51.71
< 0.1%
37.61
< 0.1%
35.31
< 0.1%
34.61
< 0.1%
32.81
< 0.1%
31.71
< 0.1%
31.51
< 0.1%
29.21
< 0.1%
29.11
< 0.1%
28.71
< 0.1%

depthError
Real number (ℝ)

High correlation 

Distinct6608
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8505894
Minimum0
Maximum61.9
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:05.668379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q11.881
median2
Q35.7
95-th percentile8.5
Maximum61.9
Range61.9
Interquartile range (IQR)3.819

Descriptive statistics

Standard deviation2.7291857
Coefficient of variation (CV)0.70877088
Kurtosis13.137914
Mean3.8505894
Median Absolute Deviation (MAD)0.3
Skewness2.0444498
Sum311239.29
Variance7.4484544
MonotonicityNot monotonic
2026-01-02T04:37:05.803901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.914617
 
18.1%
1.87710
 
9.5%
22968
 
3.7%
1.72108
 
2.6%
4.9555
 
0.7%
5.5540
 
0.7%
1.6529
 
0.7%
5.8522
 
0.6%
5.6517
 
0.6%
5.4507
 
0.6%
Other values (6598)50256
62.2%
ValueCountFrequency (%)
04
 
< 0.1%
0.081
 
< 0.1%
0.094
 
< 0.1%
0.155
0.1%
0.118
 
< 0.1%
0.129
 
< 0.1%
0.132
 
< 0.1%
0.141
 
< 0.1%
0.152
 
< 0.1%
0.165
 
< 0.1%
ValueCountFrequency (%)
61.91
 
< 0.1%
57.11
 
< 0.1%
43.51
 
< 0.1%
41.71
 
< 0.1%
38.71
 
< 0.1%
32.571
 
< 0.1%
32.2291
 
< 0.1%
31.6135
< 0.1%
31.61
 
< 0.1%
29.861
 
< 0.1%

magError
Real number (ℝ)

High correlation 

Distinct324
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.094192395
Minimum0
Maximum0.91
Zeros23
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:05.934439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.037
Q10.061
median0.086
Q30.117
95-th percentile0.18
Maximum0.91
Range0.91
Interquartile range (IQR)0.056

Descriptive statistics

Standard deviation0.046732943
Coefficient of variation (CV)0.49614348
Kurtosis7.3023369
Mean0.094192395
Median Absolute Deviation (MAD)0.027
Skewness1.7066479
Sum7613.4771
Variance0.0021839679
MonotonicityNot monotonic
2026-01-02T04:37:06.085651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0863270
 
4.0%
0.0981255
 
1.6%
0.0931172
 
1.4%
0.0891121
 
1.4%
0.0731060
 
1.3%
0.0831057
 
1.3%
0.081041
 
1.3%
0.0691021
 
1.3%
0.0711008
 
1.2%
0.078991
 
1.2%
Other values (314)67833
83.9%
ValueCountFrequency (%)
023
 
< 0.1%
0.0182
 
< 0.1%
0.01910
 
< 0.1%
0.0214
 
< 0.1%
0.02130
 
< 0.1%
0.02243
 
0.1%
0.02375
0.1%
0.024109
0.1%
0.025139
0.2%
0.026138
0.2%
ValueCountFrequency (%)
0.911
 
< 0.1%
0.61
 
< 0.1%
0.5631
 
< 0.1%
0.5581
 
< 0.1%
0.5473
< 0.1%
0.5462
< 0.1%
0.5451
 
< 0.1%
0.5443
< 0.1%
0.5422
< 0.1%
0.5412
< 0.1%

magNst
Real number (ℝ)

High correlation 

Distinct695
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.24897
Minimum0
Maximum1027
Zeros22
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:06.221623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q118
median33
Q366
95-th percentile205
Maximum1027
Range1027
Interquartile range (IQR)48

Descriptive statistics

Standard deviation77.174633
Coefficient of variation (CV)1.3025481
Kurtosis18.551944
Mean59.24897
Median Absolute Deviation (MAD)18
Skewness3.6437266
Sum4789035
Variance5955.924
MonotonicityNot monotonic
2026-01-02T04:37:06.371136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
332989
 
3.7%
101899
 
2.3%
121882
 
2.3%
141864
 
2.3%
131829
 
2.3%
181803
 
2.2%
151783
 
2.2%
111752
 
2.2%
161713
 
2.1%
191658
 
2.1%
Other values (685)61657
76.3%
ValueCountFrequency (%)
022
 
< 0.1%
113
 
< 0.1%
258
 
0.1%
3139
 
0.2%
4267
 
0.3%
5365
 
0.5%
6597
0.7%
7703
0.9%
8993
1.2%
91191
1.5%
ValueCountFrequency (%)
10271
< 0.1%
10041
< 0.1%
9871
< 0.1%
9771
< 0.1%
9751
< 0.1%
9541
< 0.1%
9411
< 0.1%
8961
< 0.1%
8841
< 0.1%
8791
< 0.1%

year
Real number (ℝ)

High correlation 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.0843
Minimum2015
Maximum2025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:06.476322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12017
median2020
Q32023
95-th percentile2025
Maximum2025
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.1528333
Coefficient of variation (CV)0.0015607434
Kurtosis-1.1926519
Mean2020.0843
Median Absolute Deviation (MAD)3
Skewness-0.043290016
Sum1.632814 × 108
Variance9.9403577
MonotonicityIncreasing
2026-01-02T04:37:06.562796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20218922
11.0%
20258089
10.0%
20227748
9.6%
20237638
9.4%
20187520
9.3%
20167415
9.2%
20197170
8.9%
20157121
8.8%
20206479
8.0%
20246385
7.9%
ValueCountFrequency (%)
20157121
8.8%
20167415
9.2%
20176342
7.8%
20187520
9.3%
20197170
8.9%
20206479
8.0%
20218922
11.0%
20227748
9.6%
20237638
9.4%
20246385
7.9%
ValueCountFrequency (%)
20258089
10.0%
20246385
7.9%
20237638
9.4%
20227748
9.6%
20218922
11.0%
20206479
8.0%
20197170
8.9%
20187520
9.3%
20176342
7.8%
20167415
9.2%

month
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5834045
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:06.648326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4627174
Coefficient of variation (CV)0.5259767
Kurtosis-1.2180969
Mean6.5834045
Median Absolute Deviation (MAD)3
Skewness-0.047623319
Sum532130
Variance11.990411
MonotonicityNot monotonic
2026-01-02T04:37:06.745593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
87339
9.1%
97338
9.1%
127025
8.7%
76957
8.6%
16839
8.5%
116788
8.4%
36763
8.4%
106635
8.2%
46408
7.9%
56403
7.9%
Other values (2)12334
15.3%
ValueCountFrequency (%)
16839
8.5%
26355
7.9%
36763
8.4%
46408
7.9%
56403
7.9%
65979
7.4%
76957
8.6%
87339
9.1%
97338
9.1%
106635
8.2%
ValueCountFrequency (%)
127025
8.7%
116788
8.4%
106635
8.2%
97338
9.1%
87339
9.1%
76957
8.6%
65979
7.4%
56403
7.9%
46408
7.9%
36763
8.4%

day
Real number (ℝ)

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.472838
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:06.850353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.7867037
Coefficient of variation (CV)0.56787926
Kurtosis-1.1844718
Mean15.472838
Median Absolute Deviation (MAD)8
Skewness0.044603613
Sum1250654
Variance77.206161
MonotonicityNot monotonic
2026-01-02T04:37:06.965215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
192895
 
3.6%
32856
 
3.5%
52843
 
3.5%
102804
 
3.5%
62795
 
3.5%
172773
 
3.4%
22768
 
3.4%
82746
 
3.4%
202746
 
3.4%
132737
 
3.4%
Other values (21)52866
65.4%
ValueCountFrequency (%)
12703
3.3%
22768
3.4%
32856
3.5%
42685
3.3%
52843
3.5%
62795
3.5%
72647
3.3%
82746
3.4%
92618
3.2%
102804
3.5%
ValueCountFrequency (%)
311367
1.7%
302602
3.2%
292384
2.9%
282502
3.1%
272462
3.0%
262540
3.1%
252495
3.1%
242440
3.0%
232459
3.0%
222635
3.3%

hour
Real number (ℝ)

Zeros 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.589751
Minimum0
Maximum23
Zeros3399
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:07.084204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median12
Q318
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.934852
Coefficient of variation (CV)0.59836073
Kurtosis-1.2107882
Mean11.589751
Median Absolute Deviation (MAD)6
Skewness-0.041565076
Sum936788
Variance48.092173
MonotonicityNot monotonic
2026-01-02T04:37:07.199585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
163662
 
4.5%
143620
 
4.5%
153618
 
4.5%
133559
 
4.4%
173542
 
4.4%
183510
 
4.3%
33479
 
4.3%
13434
 
4.2%
23418
 
4.2%
193416
 
4.2%
Other values (14)45571
56.4%
ValueCountFrequency (%)
03399
4.2%
13434
4.2%
23418
4.2%
33479
4.3%
43369
4.2%
53150
3.9%
63026
3.7%
73262
4.0%
83136
3.9%
93255
4.0%
ValueCountFrequency (%)
233292
4.1%
223334
4.1%
213406
4.2%
203392
4.2%
193416
4.2%
183510
4.3%
173542
4.4%
163662
4.5%
153618
4.5%
143620
4.5%

dayofweek
Real number (ℝ)

Zeros 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9845353
Minimum0
Maximum6
Zeros11711
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size631.6 KiB
2026-01-02T04:37:07.295167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0053026
Coefficient of variation (CV)0.67189778
Kurtosis-1.2530215
Mean2.9845353
Median Absolute Deviation (MAD)2
Skewness0.011967136
Sum241237
Variance4.0212385
MonotonicityNot monotonic
2026-01-02T04:37:07.383096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
111869
14.7%
411805
14.6%
011711
14.5%
611672
14.4%
311512
14.2%
211240
13.9%
511020
13.6%
ValueCountFrequency (%)
011711
14.5%
111869
14.7%
211240
13.9%
311512
14.2%
411805
14.6%
511020
13.6%
611672
14.4%
ValueCountFrequency (%)
611672
14.4%
511020
13.6%
411805
14.6%
311512
14.2%
211240
13.9%
111869
14.7%
011711
14.5%

net_ak
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80468 
True
 
361
ValueCountFrequency (%)
False80468
99.6%
True361
 
0.4%
2026-01-02T04:37:07.460829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_ci
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80756 
True
 
73
ValueCountFrequency (%)
False80756
99.9%
True73
 
0.1%
2026-01-02T04:37:07.506150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_hv
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80725 
True
 
104
ValueCountFrequency (%)
False80725
99.9%
True104
 
0.1%
2026-01-02T04:37:07.550901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_iscgem
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80827 
True
 
2
ValueCountFrequency (%)
False80827
> 99.9%
True2
 
< 0.1%
2026-01-02T04:37:07.597201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_nc
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80771 
True
 
58
ValueCountFrequency (%)
False80771
99.9%
True58
 
0.1%
2026-01-02T04:37:07.641600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_nn
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80789 
True
 
40
ValueCountFrequency (%)
False80789
> 99.9%
True40
 
< 0.1%
2026-01-02T04:37:07.687635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_ok
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80827 
True
 
2
ValueCountFrequency (%)
False80827
> 99.9%
True2
 
< 0.1%
2026-01-02T04:37:07.736557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_pr
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80732 
True
 
97
ValueCountFrequency (%)
False80732
99.9%
True97
 
0.1%
2026-01-02T04:37:07.783190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_se
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80828 
True
 
1
ValueCountFrequency (%)
False80828
> 99.9%
True1
 
< 0.1%
2026-01-02T04:37:07.828046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_tx
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80807 
True
 
22
ValueCountFrequency (%)
False80807
> 99.9%
True22
 
< 0.1%
2026-01-02T04:37:07.872462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_us
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
True
80061 
False
 
768
ValueCountFrequency (%)
True80061
99.0%
False768
 
1.0%
2026-01-02T04:37:07.917866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_uu
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80826 
True
 
3
ValueCountFrequency (%)
False80826
> 99.9%
True3
 
< 0.1%
2026-01-02T04:37:07.962132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

net_uw
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size79.1 KiB
False
80825 
True
 
4
ValueCountFrequency (%)
False80825
> 99.9%
True4
 
< 0.1%
2026-01-02T04:37:08.005907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Interactions

2026-01-02T04:36:59.725312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:17.965171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:20.384387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:23.092991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:25.179863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:27.719548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:31.473327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:33.791032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:35.867751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:37.912460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-02T04:36:49.258664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:51.204522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:53.175447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:55.205375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:58.730901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:37:01.119806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:19.665169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:21.808518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:24.488123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:26.844233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:30.518664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:32.849739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:35.179133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:37.234196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:39.618872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:41.732529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:44.678704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:46.933676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:49.362144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:51.324857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:53.285065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:55.318576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:58.902552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:37:01.235305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:19.782356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:21.917666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:24.598483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:26.976843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:30.673744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:32.959473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:35.293373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:37.347424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:39.728491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:41.904112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:44.841611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:47.045378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:49.466762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:51.430360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:53.412237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:55.447318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:59.076602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:37:01.347368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:19.903124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:22.212140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:24.711103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:27.093749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:30.828120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:33.350004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:35.407056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:37.457815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:39.828861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:42.059316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:45.020905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:47.167881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:49.571372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:51.529788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:53.516800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:55.619137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:59.251495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:37:01.457693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:20.020688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:22.559292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:24.835644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:27.229568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:30.990323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:33.461143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:35.531025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:37.587330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:39.931034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:42.220365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:45.194824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:47.275919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:49.676945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:51.636128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:53.623902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:55.784533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:59.414563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:37:01.566938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:20.146465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:22.820480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:24.956837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:27.359638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:31.153938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:33.574391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:35.648932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:37.695664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:40.045286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:42.383682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:45.368418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:47.385755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:49.786318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:51.743160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:53.732320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:55.944366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:59.518527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:37:01.674085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:20.262871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:22.976252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:25.064171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:27.539519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:31.321935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:33.680678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:35.755284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:37.802748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:40.149445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:42.532486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:45.497541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:47.484813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:49.890430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:51.849142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:53.841913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:56.103535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-02T04:36:59.617095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-01-02T04:37:08.734834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Unnamed: 0daydayofweekdepthdepthErrordmingaphorizontalErrorhourlatitudelongitudemagmagErrormagNstmonthnet_aknet_cinet_hvnet_iscgemnet_ncnet_nnnet_oknet_prnet_senet_txnet_usnet_uunet_uwnstrmsyear
Unnamed: 01.000-0.0190.004-0.055-0.0920.0070.0130.055-0.0180.0700.028-0.002-0.044-0.004-0.1280.0170.0410.0710.0000.0140.0360.0000.0270.0000.0190.0520.0150.0050.008-0.2290.996
day-0.0191.000-0.0120.001-0.0030.016-0.0060.001-0.0040.017-0.001-0.005-0.0090.010-0.0080.0200.0330.0000.0030.0000.0180.0000.0050.0000.0060.0140.0150.007-0.0010.005-0.013
dayofweek0.004-0.0121.0000.0010.0210.0030.0240.0090.018-0.0140.0020.0070.010-0.0090.0140.0000.0230.0000.0000.0000.0040.0000.0050.0000.0050.0080.0120.000-0.0400.0230.005
depth-0.0550.0010.0011.0000.736-0.151-0.0990.0650.011-0.0250.042-0.082-0.1570.1650.0100.0180.0120.0160.0000.0090.0050.0000.0060.0000.0000.0280.0000.0000.0890.057-0.054
depthError-0.092-0.0030.0210.7361.000-0.1420.1790.1160.0140.0030.068-0.3030.0560.0300.0160.0500.1710.1430.0000.1480.0010.0000.2160.0000.0000.2230.0000.000-0.0410.002-0.091
dmin0.0070.0160.003-0.151-0.1421.0000.0230.5440.011-0.289-0.0700.0020.116-0.046-0.0100.0300.0100.0130.0000.0070.0010.0000.0130.0000.0000.0460.0000.000-0.077-0.1080.006
gap0.013-0.0060.024-0.0990.1790.0231.0000.269-0.018-0.023-0.022-0.4420.401-0.2480.0210.1070.0340.0680.0000.1270.0190.0000.2000.0000.0120.1240.0000.000-0.254-0.0680.015
horizontalError0.0550.0010.0090.0650.1160.5440.2691.0000.003-0.307-0.047-0.1470.232-0.1190.0080.0480.0790.0940.0000.0700.0140.0000.0810.0000.0430.1060.0130.016-0.148-0.1060.056
hour-0.018-0.0040.0180.0110.0140.011-0.0180.0031.000-0.015-0.009-0.006-0.0220.026-0.0000.0100.0280.0070.0040.0060.0030.0040.0000.0050.0000.0090.0000.0020.0310.023-0.018
latitude0.0700.017-0.014-0.0250.003-0.289-0.023-0.307-0.0151.0000.262-0.032-0.3300.2900.0310.4310.0800.0810.0130.0700.0580.0080.0820.0000.0430.2980.0140.0170.183-0.0170.074
longitude0.028-0.0010.0020.0420.068-0.070-0.022-0.047-0.0090.2621.0000.002-0.0090.0310.0420.1500.2080.0850.0000.1850.1540.0140.1370.0060.0570.2150.0410.0480.024-0.0580.032
mag-0.002-0.0050.007-0.082-0.3030.002-0.442-0.147-0.006-0.0320.0021.000-0.4690.2530.0000.0230.0080.0370.0050.0120.0000.0000.0000.0000.0000.0310.0000.0000.2990.088-0.002
magError-0.044-0.0090.010-0.1570.0560.1160.4010.232-0.022-0.330-0.009-0.4691.000-0.8670.0060.0570.0130.0200.0230.0180.2180.0000.1490.0000.0440.1150.0000.004-0.436-0.065-0.044
magNst-0.0040.010-0.0090.1650.030-0.046-0.248-0.1190.0260.2900.0310.253-0.8671.0000.0000.0240.0000.0100.0000.0000.0000.0000.0100.0000.0000.0360.0000.0000.2940.046-0.004
month-0.128-0.0080.0140.0100.016-0.0100.0210.008-0.0000.0310.0420.0000.0060.0001.0000.0140.0450.0430.0000.0070.0250.0040.0170.0040.0040.0380.0170.000-0.007-0.004-0.037
net_ak0.0170.0200.0000.0180.0500.0300.1070.0480.0100.4310.1500.0230.0570.0240.0141.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.6830.0000.0000.0260.0420.021
net_ci0.0410.0330.0230.0120.1710.0100.0340.0790.0280.0800.2080.0080.0130.0000.0450.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.3050.0000.0000.0320.2550.045
net_hv0.0710.0000.0000.0160.1430.0130.0680.0940.0070.0810.0850.0370.0200.0100.0430.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.3650.0000.0000.0000.3630.072
net_iscgem0.0000.0030.0000.0000.0000.0000.0000.0000.0040.0130.0000.0050.0230.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0380.0000.0000.0000.0000.000
net_nc0.0140.0000.0000.0090.1480.0070.1270.0700.0060.0700.1850.0120.0180.0000.0070.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.2710.0000.0000.0180.2670.002
net_nn0.0360.0180.0040.0050.0010.0010.0190.0140.0030.0580.1540.0000.2180.0000.0250.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.2240.0000.0000.0000.2220.043
net_ok0.0000.0000.0000.0000.0000.0000.0000.0000.0040.0080.0140.0000.0000.0000.0040.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0380.0000.0000.0100.0510.003
net_pr0.0270.0050.0050.0060.2160.0130.2000.0810.0000.0820.1370.0000.1490.0100.0170.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.3520.0000.0000.0100.1400.047
net_se0.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0060.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0170.0000.0000.0000.0000.006
net_tx0.0190.0060.0050.0000.0000.0000.0120.0430.0000.0430.0570.0000.0440.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.1650.0000.0000.0000.1260.019
net_us0.0520.0140.0080.0280.2230.0460.1240.1060.0090.2980.2150.0310.1150.0360.0380.6830.3050.3650.0380.2710.2240.0380.3520.0170.1651.0000.0520.0630.0070.4150.049
net_uu0.0150.0150.0120.0000.0000.0000.0000.0130.0000.0140.0410.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0521.0000.0000.0000.0630.018
net_uw0.0050.0070.0000.0000.0000.0000.0000.0160.0020.0170.0480.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0001.0000.0000.0540.005
nst0.008-0.001-0.0400.089-0.041-0.077-0.254-0.1480.0310.1830.0240.299-0.4360.294-0.0070.0260.0320.0000.0000.0180.0000.0100.0100.0000.0000.0070.0000.0001.000-0.0180.007
rms-0.2290.0050.0230.0570.002-0.108-0.068-0.1060.023-0.017-0.0580.088-0.0650.046-0.0040.0420.2550.3630.0000.2670.2220.0510.1400.0000.1260.4150.0630.054-0.0181.000-0.231
year0.996-0.0130.005-0.054-0.0910.0060.0150.056-0.0180.0740.032-0.002-0.044-0.004-0.0370.0210.0450.0720.0000.0020.0430.0030.0470.0060.0190.0490.0180.0050.007-0.2311.000

Missing values

2026-01-02T04:37:01.903516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-01-02T04:37:02.298346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Unnamed: 0latitudelongitudedepthmagnstgapdminrmshorizontalErrordepthErrormagErrormagNstyearmonthdayhourdayofweeknet_aknet_cinet_hvnet_iscgemnet_ncnet_nnnet_oknet_prnet_senet_txnet_usnet_uunet_uw
000.0229123.8194143.054.656.051.01.4880.836.46.70.08343.020151230232FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
11-30.6777-71.734625.624.556.0180.00.0850.943.95.40.1928.020151230212FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
22-40.5641173.4219142.404.656.065.00.6530.707.36.30.09734.020151230192FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
33-24.4715-175.871624.214.956.077.05.0970.9913.74.70.07457.020151230182FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
44-5.9568154.9611184.564.556.094.03.2920.7611.68.20.10129.020151230142FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
5533.8836137.3211338.234.556.057.01.0660.757.45.80.053103.020151230122FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
66-18.0505-178.7085607.864.556.0192.03.0980.6714.212.70.14015.020151230122FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
7740.9013142.791551.544.556.0134.01.1460.607.57.70.13620.020151230112FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
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